In this episode of Generative AI 101, host Emily Laird unpacks Google’s multimodal power move, where reasoning, music, and image generation collide like a Christopher Nolan finale with a Silicon Valley budget. Gemini 3.1 Pro flexes real logic, Lyria 3 drops polished tracks from a single prompt, and Pomelli turns basic product photos into glossy campaign gold. This is not a chatbot party trick, it is a creative agency living in a server rack. Emily breaks down what that means for your work, your leverage, and the 22.9 percent margin of error still lurking in the code.

Seedance 2.0 just turned “lights, camera, action” into “type, click, cinema,” and host Emily Laird is here for the beautiful, slightly terrifying spectacle. ByteDance’s new text-to-video model can generate multi-shot scenes with sound in about a minute, raising big questions about control, copyright, and who gets to author reality. From Cyberpunk 2077 vibes to Disney cease-and-desist drama, this episode breaks down the tech, the hype, and the legal thunderclouds gathering overhead. If AI is the new Hollywood, Emily Laird is the critic in the back row whispering, “Okay, but who’s really directing this thing?”

Host Emily Laird breaks down Matt Shumer’s viral essay like it’s a mysterious artifact that started glowing in the lab overnight: exciting, unsettling, and definitely not something you ignore. We unpack his core claims (AI time is real, coding agents have “taste,” and AI is already helping build the next AI), then hit it with the hardest reality check.

Read Shumer’s essay here: https://shumer.dev/something-big-is-happening

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In this episode of Generative AI 101, host Emily Laird drags AI agents out of their cozy demo theaters and drops them into the command line arena, where pretty prose means nothing and only passing tests keep you alive. We break down Terminal-Bench 2.0, the 89-task obstacle course that exposes whether frontier models can actually compile code, patch vulnerabilities, and survive containerized environments without hallucinating their way into a crater. With scores under 65 percent for top systems, this is less victory lap and more reality check, a sharp look at the gap between sounding smart and finishing the job. If you have ever wondered whether AI autonomy is Iron Man or just a very confident intern with sudo access, this one is for you.

In this episode of Generative AI 101, host Emily Laird examines OpenClaw, the open source AI assistant that jumped from polite chatbot to full blown operator with access to your apps, files, and digital identity. Drawing on reporting from Reuters and security warnings from Cisco and The Verge, she unpacks how OpenClaw’s rise, 100,000 GitHub stars and millions of visitors, signals a shift from chat to action, from suggestions to delegation. But with malicious skills, prompt injection risks, and policy alarms ringing, this is less Iron Man’s Jarvis and more a very confident intern with your passwords. If you have ever wondered what happens when convenience gets admin rights, this episode is your cautionary tale with a WiFi connection.

Can AI actually read the internet, or is it just faking it with confidence? In this high-voltage episode, host Emily Laird cracks open BrowseComp, OpenAI’s benchmark built to test whether web-browsing agents can find facts that are hard to uncover but easy to verify. Humans had two hours per question and still bailed most of the time, so what does it mean when a model claims victory? From compute budgets and canary strings to the rise of multimodal chaos, Emily exposes the difference between sounding right and being right, and why in an era of polished, source-backed answers, persistence beats plausible every time.

Is AI just good at trivia, or can it actually take your job? In this episode, host Emily Laird breaks down GDPval-AA, the benchmark pitting models against humans across 1,320 real world tasks, scored like chess and judged blind. With top models working faster and cheaper than any employee, this is less sci-fi and more spreadsheet reality. If you’ve ever wondered whether the robots are coming for your role, this is your warning shot.

Host Emily Laird cracks open Claude Opus 4.6, Anthropic’s Feb 5, 2026 release that feels less like a chatbot and more like a full-time coworker who never blinks. This episode breaks down what “agentic” really means, why a million-token memory is basically an elephant with a spreadsheet addiction, and how “effort levels” let you pick between quick replies or deep, careful reasoning. You’ll also hear how Claude can spawn agent teams inside Claude Cowork (think The Bear, but with fewer knives and more revenue forecasts), plus the benchmarks that back up the hype across finance, law, terminal tasks, research hunts, and brutal exams. Emily closes with the spicy stuff, alignment, red-teaming, and the uneasy thrill of realizing your “assistant” might start running the meeting.

Host Emily Laird breaks down Frontier, OpenAI’s agent management platform that’s less about Skynet and more about spreadsheets. This isn’t AI with feelings, it’s AI filing TPS reports… with supervision. From flaky agents to corporate paranoia, Emily lays out why managing machine coworkers might be the least sexy but most important gig in the generative AI world. If you’ve ever wondered who’s really in charge when your AI does your job for you, this one’s for you.

What do Renaissance poets, Reddit trolls, and your company’s chatbot have in common? They’re all vulnerable to prompt injection. Host Emily Laird breaks down how language alone can hijack your AI systems, no malware, no hoodie, just a well-placed phrase. From direct attacks that rewrite instructions mid-chat to sneaky indirect threats buried in calendar invites and SVG files, Emily exposes the dark magic of prompt injection and why it’s terrifyingly effective. Tune in for a wild ride through multimodal attacks, accidental obedience, and the art of whispering lies to machines trained to listen.